Aplikasi logik fuzi dalam kaedah pemangkatan risiko untuk analisis mod kegagalan dan kesan (failure mode and effect analysis, FMEA)
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Date
2002-05
Authors
Ail Gobee, Suresh
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Abstract
Failure Mode and Effect Analysis (FMEA) is one of the effective tools widely
employed for failure identification and prevention. Risk ranking in FMEA is an
ambiguous task. This is due to the information used for ranking risk are either
subjective or difficult to obtain in nature. To overcome this problem, fuzzy logic was
technique incorporated in FMEA risk ranking by Bolwes and Pelaez (1995). In this '
thesis, several improvements and new suggestions have ~een made to further improve
the method suggested by Bolwes and Pelaez. To test the effectiveness of these new
methods, case studies were carried out in an actual plant environment. There are 3 case
studies were carried out namely the TNGB power plant condenser system, Motorola
solder past~ printing and using the Linguistic Ordered Weighted Averaging (LOW A)
method. Overall this thesis has succeed in improving the risk ranking method in FMEA,
enhancing the decision making method regarding the ranking values, introducing a
I
method to represent uncertainty in ranking, providing more flexibility of the ranking
method and guiding to outline the preferred method to be utilised according to situation.
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Keywords
Kaedah pemangkatan risiko , Analisis mod kegagalan , Failure mode and effect analysis, FMEA , Logik fuzi